Triple

T14735408
Position Surface form Disambiguated ID Type / Status
Subject Brenham, Texas E346191 entity
Predicate abbreviation P43 FINISHED
Object Brenham E346191 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Brenham | Statement: [Brenham, Texas, abbreviation, Brenham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brenham
Context triple: [Brenham, Texas, abbreviation, Brenham]
  • A. Brenham, Texas chosen
    Brenham, Texas is a small Central Texas city best known as the home of Blue Bell Creameries and for its historic downtown and spring wildflowers.
  • B. Beeville
    Beeville is a small city in southern Texas known as the county seat of Bee County and home to Coastal Bend College.
  • C. Kerrville
    Kerrville is a small city in central Texas known for its scenic Guadalupe River setting, Hill Country landscapes, and vibrant arts and music festivals.
  • D. Seagoville
    Seagoville is a small city in North Texas that functions as a suburban community within the greater Dallas–Fort Worth metropolitan area.
  • E. Wimberley
    Wimberley is a small, scenic town in central Texas known for its picturesque Hill Country landscapes, swimming holes, and artsy, tourist-friendly downtown.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec73114cc819088e1101b689fc70b completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb8e0d488190851d73b75ba4c0a6 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:29 a.m.